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Annotation Artifacts in Natural Language Inference Data
v1v2 (latest)

Annotation Artifacts in Natural Language Inference Data

6 March 2018
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
ArXiv (abs)PDFHTML

Papers citing "Annotation Artifacts in Natural Language Inference Data"

50 / 796 papers shown
Title
Learning from Task Descriptions
Learning from Task Descriptions
Orion Weller
Nicholas Lourie
Matt Gardner
Matthew E. Peters
113
91
0
16 Nov 2020
Natural Language Inference in Context -- Investigating Contextual
  Reasoning over Long Texts
Natural Language Inference in Context -- Investigating Contextual Reasoning over Long Texts
Hanmeng Liu
Leyang Cui
Jian Liu
Yue Zhang
ReLMLRM
78
44
0
10 Nov 2020
An Analysis of Dataset Overlap on Winograd-Style Tasks
An Analysis of Dataset Overlap on Winograd-Style Tasks
Ali Emami
Adam Trischler
Kaheer Suleman
Jackie C.K. Cheung
76
22
0
09 Nov 2020
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
77
62
0
07 Nov 2020
Detecting Word Sense Disambiguation Biases in Machine Translation for
  Model-Agnostic Adversarial Attacks
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks
Denis Emelin
Ivan Titov
Rico Sennrich
AAML
51
6
0
03 Nov 2020
Learning as Abduction: Trainable Natural Logic Theorem Prover for
  Natural Language Inference
Learning as Abduction: Trainable Natural Logic Theorem Prover for Natural Language Inference
Lasha Abzianidze
NAI
44
11
0
29 Oct 2020
Selective Classification Can Magnify Disparities Across Groups
Selective Classification Can Magnify Disparities Across Groups
Erik Jones
Shiori Sagawa
Pang Wei Koh
Ananya Kumar
Percy Liang
113
47
0
27 Oct 2020
ANLIzing the Adversarial Natural Language Inference Dataset
ANLIzing the Adversarial Natural Language Inference Dataset
Adina Williams
Tristan Thrush
Douwe Kiela
AAML
255
47
0
24 Oct 2020
Improving Classification through Weak Supervision in Context-specific
  Conversational Agent Development for Teacher Education
Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education
Debajyoti Datta
Maria Phillips
Jennifer L. Chiu
G. Watson
J. Bywater
Laura E. Barnes
Donald E. Brown
54
7
0
23 Oct 2020
Posterior Differential Regularization with f-divergence for Improving
  Model Robustness
Posterior Differential Regularization with f-divergence for Improving Model Robustness
Hao Cheng
Xiaodong Liu
L. Pereira
Yaoliang Yu
Jianfeng Gao
303
31
0
23 Oct 2020
Concealed Data Poisoning Attacks on NLP Models
Concealed Data Poisoning Attacks on NLP Models
Eric Wallace
Tony Zhao
Shi Feng
Sameer Singh
SILM
83
20
0
23 Oct 2020
Improving Robustness by Augmenting Training Sentences with
  Predicate-Argument Structures
Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures
N. Moosavi
M. Boer
Prasetya Ajie Utama
Iryna Gurevych
82
13
0
23 Oct 2020
Challenges in Information-Seeking QA: Unanswerable Questions and
  Paragraph Retrieval
Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval
Akari Asai
Eunsol Choi
RALM
113
54
0
22 Oct 2020
Towards Fully Bilingual Deep Language Modeling
Towards Fully Bilingual Deep Language Modeling
Li-Hsin Chang
S. Pyysalo
Jenna Kanerva
Filip Ginter
67
3
0
22 Oct 2020
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing
  Functional Entropies
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
Itai Gat
Idan Schwartz
Alex Schwing
Tamir Hazan
106
92
0
21 Oct 2020
ConjNLI: Natural Language Inference Over Conjunctive Sentences
ConjNLI: Natural Language Inference Over Conjunctive Sentences
Swarnadeep Saha
Yixin Nie
Joey Tianyi Zhou
100
36
0
20 Oct 2020
Explaining and Improving Model Behavior with k Nearest Neighbor
  Representations
Explaining and Improving Model Behavior with k Nearest Neighbor Representations
Nazneen Rajani
Ben Krause
Wengpeng Yin
Tong Niu
R. Socher
Caiming Xiong
FAtt
62
33
0
18 Oct 2020
What is More Likely to Happen Next? Video-and-Language Future Event
  Prediction
What is More Likely to Happen Next? Video-and-Language Future Event Prediction
Jie Lei
Licheng Yu
Tamara L. Berg
Joey Tianyi Zhou
96
73
0
15 Oct 2020
Natural Language Rationales with Full-Stack Visual Reasoning: From
  Pixels to Semantic Frames to Commonsense Graphs
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
Ana Marasović
Chandra Bhagavatula
J. S. Park
Ronan Le Bras
Noah A. Smith
Yejin Choi
ReLMLRM
99
62
0
15 Oct 2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and
  Goals of Human Trust in AI
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI
Alon Jacovi
Ana Marasović
Tim Miller
Yoav Goldberg
328
450
0
15 Oct 2020
Geometry matters: Exploring language examples at the decision boundary
Geometry matters: Exploring language examples at the decision boundary
Debajyoti Datta
Shashwat Kumar
Laura E. Barnes
Tom Fletcher
AAML
32
3
0
14 Oct 2020
Asking Crowdworkers to Write Entailment Examples: The Best of Bad
  Options
Asking Crowdworkers to Write Entailment Examples: The Best of Bad Options
Clara Vania
Ruijie Chen
Samuel R. Bowman
89
11
0
13 Oct 2020
Are Some Words Worth More than Others?
Are Some Words Worth More than Others?
Shiran Dudy
Steven Bedrick
71
14
0
12 Oct 2020
Evaluating Factuality in Generation with Dependency-level Entailment
Evaluating Factuality in Generation with Dependency-level Entailment
Tanya Goyal
Greg Durrett
140
151
0
12 Oct 2020
OCNLI: Original Chinese Natural Language Inference
OCNLI: Original Chinese Natural Language Inference
Hai Hu
Kyle Richardson
Liang Xu
Lu Li
Sandra Kübler
L. Moss
95
118
0
12 Oct 2020
Gradient-based Analysis of NLP Models is Manipulable
Gradient-based Analysis of NLP Models is Manipulable
Junlin Wang
Jens Tuyls
Eric Wallace
Sameer Singh
AAMLFAtt
78
60
0
12 Oct 2020
FIND: Human-in-the-Loop Debugging Deep Text Classifiers
FIND: Human-in-the-Loop Debugging Deep Text Classifiers
Piyawat Lertvittayakumjorn
Lucia Specia
Francesca Toni
62
54
0
10 Oct 2020
Counterfactually-Augmented SNLI Training Data Does Not Yield Better
  Generalization Than Unaugmented Data
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data
William Huang
Haokun Liu
Samuel R. Bowman
84
38
0
09 Oct 2020
Case Study: Deontological Ethics in NLP
Case Study: Deontological Ethics in NLP
Shrimai Prabhumoye
Brendon Boldt
Ruslan Salakhutdinov
A. Black
AILaw
67
29
0
09 Oct 2020
An Empirical Study on Model-agnostic Debiasing Strategies for Robust
  Natural Language Inference
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference
Tianyu Liu
Xin Zheng
Xiaoan Ding
Baobao Chang
Zhifang Sui
73
25
0
08 Oct 2020
Discriminatively-Tuned Generative Classifiers for Robust Natural
  Language Inference
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference
Xiaoan Ding
Tianyu Liu
Baobao Chang
Zhifang Sui
Kevin Gimpel
85
8
0
08 Oct 2020
"I'd rather just go to bed": Understanding Indirect Answers
"I'd rather just go to bed": Understanding Indirect Answers
Annie Louis
Dan Roth
Filip Radlinski
75
48
0
07 Oct 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales
  Without Supervision
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
Max Glockner
Ivan Habernal
Iryna Gurevych
LRM
95
26
0
07 Oct 2020
Improving QA Generalization by Concurrent Modeling of Multiple Biases
Improving QA Generalization by Concurrent Modeling of Multiple Biases
Mingzhu Wu
N. Moosavi
Andreas Rucklé
Iryna Gurevych
AI4CE
72
17
0
07 Oct 2020
Universal Natural Language Processing with Limited Annotations: Try
  Few-shot Textual Entailment as a Start
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start
Wenpeng Yin
Nazneen Rajani
Dragomir R. Radev
R. Socher
Caiming Xiong
90
69
0
06 Oct 2020
Explaining The Efficacy of Counterfactually Augmented Data
Explaining The Efficacy of Counterfactually Augmented Data
Divyansh Kaushik
Amrith Rajagopal Setlur
Eduard H. Hovy
Zachary Chase Lipton
CML
76
82
0
05 Oct 2020
How Effective is Task-Agnostic Data Augmentation for Pretrained
  Transformers?
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?
Shayne Longpre
Yu Wang
Christopher DuBois
ViT
86
84
0
05 Oct 2020
Explaining Deep Neural Networks
Explaining Deep Neural Networks
Oana-Maria Camburu
XAIFAtt
108
26
0
04 Oct 2020
A Survey on Explainability in Machine Reading Comprehension
A Survey on Explainability in Machine Reading Comprehension
Mokanarangan Thayaparan
Marco Valentino
André Freitas
FaML
108
49
0
01 Oct 2020
XTE: Explainable Text Entailment
XTE: Explainable Text Entailment
V. S. Silva
André Freitas
Siegfried Handschuh
59
6
0
25 Sep 2020
Towards Debiasing NLU Models from Unknown Biases
Towards Debiasing NLU Models from Unknown Biases
Prasetya Ajie Utama
N. Moosavi
Iryna Gurevych
119
155
0
25 Sep 2020
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal
  Sufficient Subsets
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets
Oana-Maria Camburu
Eleonora Giunchiglia
Jakob N. Foerster
Thomas Lukasiewicz
Phil Blunsom
FAtt
80
23
0
23 Sep 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training
  Dynamics
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Swabha Swayamdipta
Roy Schwartz
Nicholas Lourie
Yizhong Wang
Hannaneh Hajishirzi
Noah A. Smith
Yejin Choi
147
452
0
22 Sep 2020
FarsTail: A Persian Natural Language Inference Dataset
FarsTail: A Persian Natural Language Inference Dataset
Hossein Amirkhani
Mohammad AzariJafari
Zohreh Pourjafari
Soroush Faridan-Jahromi
Zeinab Kouhkan
Azadeh Amirak
91
33
0
18 Sep 2020
Critical Thinking for Language Models
Critical Thinking for Language Models
Gregor Betz
Christian Voigt
Kyle Richardson
SyDaReLMLRMAI4CE
111
35
0
15 Sep 2020
Systematic Generalization on gSCAN with Language Conditioned Embedding
Systematic Generalization on gSCAN with Language Conditioned Embedding
Tong Gao
Qi Huang
Raymond J. Mooney
68
22
0
11 Sep 2020
Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life
  Anecdotes
Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes
Nicholas Lourie
Ronan Le Bras
Yejin Choi
72
125
0
20 Aug 2020
DQI: A Guide to Benchmark Evaluation
DQI: A Guide to Benchmark Evaluation
Swaroop Mishra
Anjana Arunkumar
Bhavdeep Singh Sachdeva
Chris Bryan
Chitta Baral
65
8
0
10 Aug 2020
On Commonsense Cues in BERT for Solving Commonsense Tasks
On Commonsense Cues in BERT for Solving Commonsense Tasks
Leyang Cui
Sijie Cheng
Yu Wu
Yue Zhang
SSLCMLLRM
57
15
0
10 Aug 2020
Our Evaluation Metric Needs an Update to Encourage Generalization
Our Evaluation Metric Needs an Update to Encourage Generalization
Swaroop Mishra
Anjana Arunkumar
Chris Bryan
Chitta Baral
86
16
0
14 Jul 2020
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